Data Analysis Report

Dataset statistics

Number of variables	19
Number of observations	19459
Missing cells	11482
Missing cells (%)	3.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	8.9 MiB
Average record size in memory	482.0 B

Variable types

Categorical	8
Text	3
Numeric	8

Alerts

`followers` is highly overall correlated with `following` and 6 other fields	High correlation
`following` is highly overall correlated with `followers` and 4 other fields	High correlation
`label` is highly overall correlated with `text_bot_count`	High correlation
`log_followers` is highly overall correlated with `followers` and 6 other fields	High correlation
`log_following` is highly overall correlated with `followers` and 4 other fields	High correlation
`log_public_gists` is highly overall correlated with `followers` and 4 other fields	High correlation
`log_public_repos` is highly overall correlated with `followers` and 6 other fields	High correlation
`public_gists` is highly overall correlated with `followers` and 4 other fields	High correlation
`public_repos` is highly overall correlated with `followers` and 6 other fields	High correlation
`text_bot_count` is highly overall correlated with `label` and 1 other fields	High correlation
`type` is highly overall correlated with `text_bot_count`	High correlation
`label` is highly imbalanced (67.2%)	Imbalance
`type` is highly imbalanced (92.8%)	Imbalance
`site_admin` is highly imbalanced (95.7%)	Imbalance
`text_bot_count` is highly imbalanced (93.5%)	Imbalance
`bio` has 10758 (55.3%) missing values	Missing
`public_repos` is highly skewed (γ1 = 54.52274234)	Skewed
`public_gists` is highly skewed (γ1 = 69.95022964)	Skewed
`followers` is highly skewed (γ1 = 32.0725488)	Skewed
`following` is highly skewed (γ1 = 30.4418986)	Skewed
`public_repos` has 966 (5.0%) zeros	Zeros
`public_gists` has 7790 (40.0%) zeros	Zeros
`followers` has 1436 (7.4%) zeros	Zeros
`following` has 5901 (30.3%) zeros	Zeros
`log_public_repos` has 966 (5.0%) zeros	Zeros
`log_public_gists` has 7790 (40.0%) zeros	Zeros
`log_followers` has 1436 (7.4%) zeros	Zeros
`log_following` has 5901 (30.3%) zeros	Zeros

Reproduction

Analysis started	2025-01-04 14:34:33.728733
Analysis finished	2025-01-04 14:34:42.078433
Duration	8.35 seconds
Software version	ydata-profiling vv4.12.1
Download configuration	config.json

label
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.7 MiB

Human	18287
Bot	1172

Length

Max length	5
Median length	5
Mean length	4.8795416
Min length	3

Characters and Unicode

Total characters	94951
Distinct characters	8
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Human
2nd row	Human
3rd row	Human
4th row	Bot
5th row	Human

Common Values

Value	Count	Frequency (%)
Human	18287	94.0%
Bot	1172	6.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
human	18287	94.0%
bot	1172	6.0%

Most occurring characters

Value	Count	Frequency (%)
H	18287	19.3%
u	18287	19.3%
m	18287	19.3%
a	18287	19.3%
n	18287	19.3%
B	1172	1.2%
o	1172	1.2%
t	1172	1.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	75492	79.5%
Uppercase Letter	19459	20.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
u	18287	24.2%
m	18287	24.2%
a	18287	24.2%
n	18287	24.2%
o	1172	1.6%
t	1172	1.6%

Uppercase Letter

Value	Count	Frequency (%)
H	18287	94.0%
B	1172	6.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	94951	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
H	18287	19.3%
u	18287	19.3%
m	18287	19.3%
a	18287	19.3%
n	18287	19.3%
B	1172	1.2%
o	1172	1.2%
t	1172	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	94951	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
H	18287	19.3%
u	18287	19.3%
m	18287	19.3%
a	18287	19.3%
n	18287	19.3%
B	1172	1.2%
o	1172	1.2%
t	1172	1.2%

type
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

1	19289
0	170

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	19459
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	19289	99.1%
0	170	0.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	19289	99.1%
0	170	0.9%

Most occurring characters

Value	Count	Frequency (%)
1	19289	99.1%
0	170	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19459	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	19289	99.1%
0	170	0.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	19459	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	19289	99.1%
0	170	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19459	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	19289	99.1%
0	170	0.9%

site_admin
Categorical

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	19369
1	90

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	19459
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	19369	99.5%
1	90	0.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	19369	99.5%
1	90	0.5%

Most occurring characters

Value	Count	Frequency (%)
0	19369	99.5%
1	90	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19459	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	19369	99.5%
1	90	0.5%

Most occurring scripts

Value	Count	Frequency (%)
Common	19459	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	19369	99.5%
1	90	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19459	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	19369	99.5%
1	90	0.5%

company
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

1	10635
0	8824

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	19459
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
1	10635	54.7%
0	8824	45.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	10635	54.7%
0	8824	45.3%

Most occurring characters

Value	Count	Frequency (%)
1	10635	54.7%
0	8824	45.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19459	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	10635	54.7%
0	8824	45.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	19459	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	10635	54.7%
0	8824	45.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19459	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	10635	54.7%
0	8824	45.3%

blog
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	11084
1	8375

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	19459
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	11084	57.0%
1	8375	43.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	11084	57.0%
1	8375	43.0%

Most occurring characters

Value	Count	Frequency (%)
0	11084	57.0%
1	8375	43.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19459	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	11084	57.0%
1	8375	43.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	19459	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	11084	57.0%
1	8375	43.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19459	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	11084	57.0%
1	8375	43.0%

location
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

1	12502
0	6957

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	19459
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	12502	64.2%
0	6957	35.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	12502	64.2%
0	6957	35.8%

Most occurring characters

Value	Count	Frequency (%)
1	12502	64.2%
0	6957	35.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19459	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	12502	64.2%
0	6957	35.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	19459	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	12502	64.2%
0	6957	35.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19459	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	12502	64.2%
0	6957	35.8%

hireable
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

0	16228
1	3231

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	19459
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	1
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	16228	83.4%
1	3231	16.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	16228	83.4%
1	3231	16.6%

Most occurring characters

Value	Count	Frequency (%)
0	16228	83.4%
1	3231	16.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19459	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	16228	83.4%
1	3231	16.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	19459	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	16228	83.4%
1	3231	16.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19459	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	16228	83.4%
1	3231	16.6%

bio
Text

Missing

Distinct	8511
Distinct (%)	97.8%
Missing	10758
Missing (%)	55.3%
Memory size	2.2 MiB

Length

Max length	3013
Median length	311
Mean length	66.395817
Min length	1

Characters and Unicode

Total characters	577710
Distinct characters	195
Distinct categories	17 ?
Distinct scripts	4 ?
Distinct blocks	7 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8446 ?
Unique (%)	97.1%

Sample

1st row	I just press the buttons randomly, and the program evolves...
2nd row	Time is unimportant, only life important.
3rd row	Done studying. Need challenges.
4th row	Administrator of MOONGIFT that is introducing open source software everyday to Japanese engineers since 2004.
5th row	Senior Software Engineer at Google, working on Certificate Transparency and generalized transparency.

Value	Count	Frequency (%)
	3017	3.9%
and	2499	3.2%
engineer	1568	2.0%
software	1493	1.9%
of	1469	1.9%
at	1372	1.8%
developer	1210	1.6%
the	1073	1.4%
a	1031	1.3%
i	1021	1.3%
Other values (15629)	62170	79.8%

Most occurring characters

Value	Count	Frequency (%)
	69483	12.0%
e	50777	8.8%
a	32167	5.6%
o	32151	5.6%
r	31682	5.5%
n	31423	5.4%
t	30985	5.4%
i	28328	4.9%
s	20313	3.5%
l	15440	2.7%
Other values (185)	234961	40.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	398013	68.9%
Space Separator	69488	12.0%
Uppercase Letter	49508	8.6%
Other Punctuation	29722	5.1%
Decimal Number	14833	2.6%
Dash Punctuation	3735	0.6%
Math Symbol	3721	0.6%
Control	3047	0.5%
Open Punctuation	2229	0.4%
Private Use	1459	0.3%
Other values (7)	1955	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	50777	12.8%
a	32167	8.1%
o	32151	8.1%
r	31682	8.0%
n	31423	7.9%
t	30985	7.8%
i	28328	7.1%
s	20313	5.1%
l	15440	3.9%
c	14098	3.5%
Other values (49)	110649	27.8%

Uppercase Letter

Value	Count	Frequency (%)
S	5632	11.4%
C	3765	7.6%
E	2996	6.1%
I	2911	5.9%
T	2822	5.7%
P	2821	5.7%
D	2722	5.5%
A	2711	5.5%
F	2513	5.1%
M	2315	4.7%
Other values (42)	18300	37.0%

Other Punctuation

Value	Count	Frequency (%)
,	9327	31.4%
.	7615	25.6%
@	4145	13.9%
:	2362	7.9%
/	1983	6.7%
?	853	2.9%
'	744	2.5%
&	655	2.2%
!	380	1.3%
#	305	1.0%
Other values (13)	1353	4.6%

Math Symbol

Value	Count	Frequency (%)
\|	1127	30.3%
+	904	24.3%
∏	384	10.3%
¬	162	4.4%
∑	155	4.2%
∫	148	4.0%
√	119	3.2%
≠	119	3.2%
∞	118	3.2%
±	88	2.4%
Other values (9)	397	10.7%

Decimal Number

Value	Count	Frequency (%)
0	4832	32.6%
2	2341	15.8%
1	2299	15.5%
3	1208	8.1%
5	825	5.6%
4	822	5.5%
9	737	5.0%
6	641	4.3%
8	591	4.0%
7	537	3.6%

Open Punctuation

Value	Count	Frequency (%)
‚	1226	55.0%
(	530	23.8%
„	397	17.8%
[	57	2.6%
{	19	0.9%

Other Symbol

Value	Count	Frequency (%)
®	192	39.9%
°	100	20.8%
©	97	20.2%
™	78	16.2%
◊	14	2.9%

Currency Symbol

Value	Count	Frequency (%)
¥	74	40.2%
£	57	31.0%
¢	40	21.7%
$	13	7.1%

Modifier Symbol

Value	Count	Frequency (%)
¨	62	47.0%
´	53	40.2%
`	14	10.6%
^	3	2.3%

Dash Punctuation

Value	Count	Frequency (%)
-	3491	93.5%
–	157	4.2%
—	87	2.3%

Close Punctuation

Value	Count	Frequency (%)
)	549	87.8%
]	58	9.3%
}	18	2.9%

Space Separator

Value	Count	Frequency (%)
	69483	> 99.9%
	5	< 0.1%

Other Letter

Value	Count	Frequency (%)
º	206	53.9%
ª	176	46.1%

Control

Value	Count	Frequency (%)
	3047	100.0%

Private Use

Value	Count	Frequency (%)
	1459	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	145	100.0%

Final Punctuation

Value	Count	Frequency (%)
»	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	447652	77.5%
Common	128408	22.2%
Unknown	1459	0.3%
Greek	191	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	50777	11.3%
a	32167	7.2%
o	32151	7.2%
r	31682	7.1%
n	31423	7.0%
t	30985	6.9%
i	28328	6.3%
s	20313	4.5%
l	15440	3.4%
c	14098	3.1%
Other values (100)	160288	35.8%

Common

Value	Count	Frequency (%)
	69483	54.1%
,	9327	7.3%
.	7615	5.9%
0	4832	3.8%
@	4145	3.2%
-	3491	2.7%
	3047	2.4%
:	2362	1.8%
2	2341	1.8%
1	2299	1.8%
Other values (72)	19466	15.2%

Greek

Value	Count	Frequency (%)
Ω	112	58.6%
π	79	41.4%

Unknown

Value	Count	Frequency (%)
	1459	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	560027	96.9%
None	12464	2.2%
Punctuation	2400	0.4%
PUA	1459	0.3%
Math Operators	1268	0.2%
Letterlike Symbols	78	< 0.1%
Geometric Shapes	14	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	69483	12.4%
e	50777	9.1%
a	32167	5.7%
o	32151	5.7%
r	31682	5.7%
n	31423	5.6%
t	30985	5.5%
i	28328	5.1%
s	20313	3.6%
l	15440	2.8%
Other values (86)	217278	38.8%

None

Value	Count	Frequency (%)
ü	1509	12.1%
Ä	992	8.0%
Â	438	3.5%
ç	364	2.9%
ñ	364	2.9%
Ô	350	2.8%
è	337	2.7%
Å	323	2.6%
Ê	274	2.2%
Á	264	2.1%
Other values (66)	7249	58.2%

PUA

Value	Count	Frequency (%)
	1459	100.0%

Punctuation

Value	Count	Frequency (%)
‚	1226	51.1%
„	397	16.5%
‰	239	10.0%
–	157	6.5%
†	147	6.1%
•	134	5.6%
—	87	3.6%
‡	8	0.3%
…	5	0.2%

Math Operators

Value	Count	Frequency (%)
∏	384	30.3%
∑	155	12.2%
∫	148	11.7%
√	119	9.4%
≠	119	9.4%
∞	118	9.3%
≥	85	6.7%
∂	70	5.5%
≤	57	4.5%
≈	12	0.9%

Letterlike Symbols

Value	Count	Frequency (%)
™	78	100.0%

Geometric Shapes

Value	Count	Frequency (%)
◊	14	100.0%

public_repos
Real number (ℝ)

High correlation Skewed Zeros

Distinct	667
Distinct (%)	3.4%
Missing	46
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	83.189461

Minimum	0
Maximum	50000
Zeros	966
Zeros (%)	5.0%
Negative	0
Negative (%)	0.0%
Memory size	820.1 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	11
median	34
Q3	82
95-th percentile	248
Maximum	50000
Range	50000
Interquartile range (IQR)	71

Descriptive statistics

Standard deviation	575.11725
Coefficient of variation (CV)	6.9133427
Kurtosis	3754.597
Mean	83.189461
Median Absolute Deviation (MAD)	28
Skewness	54.522742
Sum	1614957
Variance	330759.85
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	966	5.0%
1	556	2.9%
2	468	2.4%
3	394	2.0%
4	377	1.9%
6	362	1.9%
5	350	1.8%
7	328	1.7%
9	306	1.6%
8	300	1.5%
Other values (657)	15006	77.1%

Value	Count	Frequency (%)
0	966	5.0%
1	556	2.9%
2	468	2.4%
3	394	2.0%
4	377	1.9%
5	350	1.8%
6	362	1.9%
7	328	1.7%
8	300	1.5%
9	306	1.6%

Value	Count	Frequency (%)
50000	1	< 0.1%
27746	1	< 0.1%
26360	1	< 0.1%
22618	1	< 0.1%
20693	1	< 0.1%
17425	1	< 0.1%
16985	1	< 0.1%
16839	1	< 0.1%
9554	1	< 0.1%
7068	1	< 0.1%

public_gists
Real number (ℝ)

High correlation Skewed Zeros

Distinct	390
Distinct (%)	2.0%
Missing	38
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	28.5216

Minimum	0
Maximum	55781
Zeros	7790
Zeros (%)	40.0%
Negative	0
Negative (%)	0.0%
Memory size	820.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2
Q3	10
95-th percentile	70
Maximum	55781
Range	55781
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	653.4023
Coefficient of variation (CV)	22.909034
Kurtosis	5437.9943
Mean	28.5216
Median Absolute Deviation (MAD)	2
Skewness	69.95023
Sum	553918
Variance	426934.57
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7790	40.0%
1	1818	9.3%
2	1118	5.7%
3	804	4.1%
4	652	3.4%
5	610	3.1%
6	473	2.4%
7	398	2.0%
9	323	1.7%
8	311	1.6%
Other values (380)	5124	26.3%

Value	Count	Frequency (%)
0	7790	40.0%
1	1818	9.3%
2	1118	5.7%
3	804	4.1%
4	652	3.4%
5	610	3.1%
6	473	2.4%
7	398	2.0%
8	311	1.6%
9	323	1.7%

Value	Count	Frequency (%)
55781	1	< 0.1%
53660	1	< 0.1%
28943	1	< 0.1%
26879	1	< 0.1%
15482	1	< 0.1%
12328	1	< 0.1%
10604	1	< 0.1%
8924	1	< 0.1%
4461	1	< 0.1%
4163	1	< 0.1%

followers
Real number (ℝ)

High correlation Skewed Zeros

Distinct	1564
Distinct (%)	8.0%
Missing	30
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	244.56544

Minimum	0
Maximum	95752
Zeros	1436
Zeros (%)	7.4%
Negative	0
Negative (%)	0.0%
Memory size	820.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	7
median	33
Q3	124
95-th percentile	822.6
Maximum	95752
Range	95752
Interquartile range (IQR)	117

Descriptive statistics

Standard deviation	1555.0957
Coefficient of variation (CV)	6.3586076
Kurtosis	1525.2067
Mean	244.56544
Median Absolute Deviation (MAD)	31
Skewness	32.072549
Sum	4751662
Variance	2418322.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1436	7.4%
1	796	4.1%
2	616	3.2%
3	504	2.6%
4	443	2.3%
5	409	2.1%
6	396	2.0%
7	342	1.8%
8	337	1.7%
9	308	1.6%
Other values (1554)	13842	71.1%

Value	Count	Frequency (%)
0	1436	7.4%
1	796	4.1%
2	616	3.2%
3	504	2.6%
4	443	2.3%
5	409	2.1%
6	396	2.0%
7	342	1.8%
8	337	1.7%
9	308	1.6%

Value	Count	Frequency (%)
95752	1	< 0.1%
84979	1	< 0.1%
66203	1	< 0.1%
58452	1	< 0.1%
31120	1	< 0.1%
30287	1	< 0.1%
29719	1	< 0.1%
29414	1	< 0.1%
28411	1	< 0.1%
27775	1	< 0.1%

following
Real number (ℝ)

High correlation Skewed Zeros

Distinct	607
Distinct (%)	3.1%
Missing	151
Missing (%)	0.8%
Infinite	0
Infinite (%)	0.0%
Mean	42.653045

Minimum	0
Maximum	16741
Zeros	5901
Zeros (%)	30.3%
Negative	0
Negative (%)	0.0%
Memory size	820.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	4
Q3	22
95-th percentile	146
Maximum	16741
Range	16741
Interquartile range (IQR)	22

Descriptive statistics

Standard deviation	309.26905
Coefficient of variation (CV)	7.2508081
Kurtosis	1228.9191
Mean	42.653045
Median Absolute Deviation (MAD)	4
Skewness	30.441899
Sum	823545
Variance	95647.344
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5901	30.3%
1	1709	8.8%
2	1073	5.5%
3	774	4.0%
4	596	3.1%
5	518	2.7%
6	470	2.4%
7	399	2.1%
8	357	1.8%
9	317	1.6%
Other values (597)	7194	37.0%

Value	Count	Frequency (%)
0	5901	30.3%
1	1709	8.8%
2	1073	5.5%
3	774	4.0%
4	596	3.1%
5	518	2.7%
6	470	2.4%
7	399	2.1%
8	357	1.8%
9	317	1.6%

Value	Count	Frequency (%)
16741	1	< 0.1%
15931	1	< 0.1%
11921	1	< 0.1%
10268	1	< 0.1%
9720	1	< 0.1%
9686	1	< 0.1%
9532	1	< 0.1%
9367	1	< 0.1%
7374	1	< 0.1%
6207	1	< 0.1%

created_at
Text

Distinct	19434
Distinct (%)	> 99.9%
Missing	23
Missing (%)	0.1%
Memory size	2.0 MiB

Length

Max length	27
Median length	25
Mean length	24.974532
Min length	1

Characters and Unicode

Total characters	485405
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19432 ?
Unique (%)	> 99.9%

Sample

1st row	2011-09-26 17:27:03+00:00
2nd row	2015-06-29 10:12:46+00:00
3rd row	2008-08-29 16:20:03+00:00
4th row	2014-05-20 18:43:09+00:00
5th row	2012-08-16 14:19:13+00:00

Value	Count	Frequency (%)
2012-07-05	18	< 0.1%
2014-10-08	15	< 0.1%
2013-06-10	15	< 0.1%
2017-06-09	14	< 0.1%
2013-01-25	14	< 0.1%
2014-05-16	14	< 0.1%
2013-01-15	13	< 0.1%
2014-04-15	13	< 0.1%
2012-06-18	13	< 0.1%
2013-05-14	13	< 0.1%
Other values (21976)	38709	99.6%

Most occurring characters

Value	Count	Frequency (%)
0	144298	29.7%
:	58239	12.0%
1	57550	11.9%
2	50192	10.3%
-	38826	8.0%
3	19515	4.0%
	19417	4.0%
+	19413	4.0%
4	17545	3.6%
5	17230	3.5%
Other values (25)	43180	8.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	349479	72.0%
Other Punctuation	58239	12.0%
Dash Punctuation	38826	8.0%
Space Separator	19417	4.0%
Math Symbol	19413	4.0%
Lowercase Letter	27	< 0.1%
Uppercase Letter	4	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	4	14.8%
e	3	11.1%
a	2	7.4%
i	2	7.4%
p	2	7.4%
u	2	7.4%
s	2	7.4%
k	1	3.7%
c	1	3.7%
t	1	3.7%
Other values (7)	7	25.9%

Decimal Number

Value	Count	Frequency (%)
0	144298	41.3%
1	57550	16.5%
2	50192	14.4%
3	19515	5.6%
4	17545	5.0%
5	17230	4.9%
9	11170	3.2%
8	10933	3.1%
7	10541	3.0%
6	10505	3.0%

Uppercase Letter

Value	Count	Frequency (%)
S	1	25.0%
P	1	25.0%
C	1	25.0%
E	1	25.0%

Other Punctuation

Value	Count	Frequency (%)
:	58239	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	38826	100.0%

Space Separator

Value	Count	Frequency (%)
	19417	100.0%

Math Symbol

Value	Count	Frequency (%)
+	19413	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	485374	> 99.9%
Latin	31	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	4	12.9%
e	3	9.7%
a	2	6.5%
i	2	6.5%
p	2	6.5%
u	2	6.5%
s	2	6.5%
k	1	3.2%
S	1	3.2%
c	1	3.2%
Other values (11)	11	35.5%

Common

Value	Count	Frequency (%)
0	144298	29.7%
:	58239	12.0%
1	57550	11.9%
2	50192	10.3%
-	38826	8.0%
3	19515	4.0%
	19417	4.0%
+	19413	4.0%
4	17545	3.6%
5	17230	3.5%
Other values (4)	43149	8.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	485405	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	144298	29.7%
:	58239	12.0%
1	57550	11.9%
2	50192	10.3%
-	38826	8.0%
3	19515	4.0%
	19417	4.0%
+	19413	4.0%
4	17545	3.6%
5	17230	3.5%
Other values (25)	43180	8.9%

updated_at
Text

Distinct	19181
Distinct (%)	98.7%
Missing	23
Missing (%)	0.1%
Memory size	2.0 MiB

Length

Max length	25
Median length	25
Mean length	24.829337
Min length	1

Characters and Unicode

Total characters	482583
Distinct characters	34
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	19056 ?
Unique (%)	98.0%

Sample

1st row	2023-10-13 11:21:10+00:00
2nd row	2023-10-07 06:26:14+00:00
3rd row	2023-10-02 02:11:21+00:00
4th row	2023-10-12 12:54:59+00:00
5th row	2023-10-06 11:58:41+00:00

Value	Count	Frequency (%)
2023-10-13	837	2.2%
2023-10-11	813	2.1%
2023-10-12	809	2.1%
2023-10-10	716	1.8%
2023-10-09	653	1.7%
2023-10-04	530	1.4%
2023-10-03	474	1.2%
2023-10-05	463	1.2%
2023-10-06	460	1.2%
2023-09-28	433	1.1%
Other values (17627)	32546	84.0%

Most occurring characters

Value	Count	Frequency (%)
0	142136	29.5%
2	62535	13.0%
:	57888	12.0%
1	43291	9.0%
-	38592	8.0%
3	33261	6.9%
	19300	4.0%
+	19296	4.0%
4	13659	2.8%
5	13559	2.8%
Other values (24)	39066	8.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	347479	72.0%
Other Punctuation	57891	12.0%
Dash Punctuation	38592	8.0%
Space Separator	19300	4.0%
Math Symbol	19296	4.0%
Lowercase Letter	21	< 0.1%
Uppercase Letter	3	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	3	14.3%
o	2	9.5%
t	2	9.5%
l	2	9.5%
e	2	9.5%
v	2	9.5%
y	1	4.8%
g	1	4.8%
d	1	4.8%
i	1	4.8%
Other values (4)	4	19.0%

Decimal Number

Value	Count	Frequency (%)
0	142136	40.9%
2	62535	18.0%
1	43291	12.5%
3	33261	9.6%
4	13659	3.9%
5	13559	3.9%
9	13040	3.8%
8	9649	2.8%
7	8491	2.4%
6	7858	2.3%

Other Punctuation

Value	Count	Frequency (%)
:	57888	> 99.9%
.	2	< 0.1%
"	1	< 0.1%

Uppercase Letter

Value	Count	Frequency (%)
P	1	33.3%
J	1	33.3%
M	1	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	38592	100.0%

Space Separator

Value	Count	Frequency (%)
	19300	100.0%

Math Symbol

Value	Count	Frequency (%)
+	19296	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	482559	> 99.9%
Latin	24	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	142136	29.5%
2	62535	13.0%
:	57888	12.0%
1	43291	9.0%
-	38592	8.0%
3	33261	6.9%
	19300	4.0%
+	19296	4.0%
4	13659	2.8%
5	13559	2.8%
Other values (7)	39042	8.1%

Latin

Value	Count	Frequency (%)
a	3	12.5%
o	2	8.3%
t	2	8.3%
l	2	8.3%
e	2	8.3%
v	2	8.3%
P	1	4.2%
y	1	4.2%
g	1	4.2%
d	1	4.2%
Other values (7)	7	29.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	482583	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	142136	29.5%
2	62535	13.0%
:	57888	12.0%
1	43291	9.0%
-	38592	8.0%
3	33261	6.9%
	19300	4.0%
+	19296	4.0%
4	13659	2.8%
5	13559	2.8%
Other values (24)	39066	8.1%

text_bot_count
Categorical

High correlation Imbalance

Distinct	28
Distinct (%)	0.1%
Missing	148
Missing (%)	0.8%
Memory size	1.6 MiB

0	18537
1	420
2	245
3	73
4	9
Other values (23)	27

Length

Max length	25
Median length	1
Mean length	1.0205064
Min length	1

Characters and Unicode

Total characters	19707
Distinct characters	18
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	22 ?
Unique (%)	0.1%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	18537	95.3%
1	420	2.2%
2	245	1.3%
3	73	0.4%
4	9	< 0.1%
5	5	< 0.1%
246	1	< 0.1%
35	1	< 0.1%
2014-02-27 00:18:12+00:00	1	< 0.1%
2023-10-07 17:17:23+00:00	1	< 0.1%
Other values (18)	18	0.1%
(Missing)	148	0.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
0	18537	95.9%
1	420	2.2%
2	245	1.3%
3	73	0.4%
4	9	< 0.1%
5	5	< 0.1%
2023-10-06	2	< 0.1%
35	1	< 0.1%
2014-02-27	1	< 0.1%
00:18:12+00:00	1	< 0.1%
Other values (33)	33	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	18655	94.7%
1	468	2.4%
2	288	1.5%
3	95	0.5%
:	48	0.2%
-	32	0.2%
4	22	0.1%
5	19	0.1%
	17	0.1%
+	16	0.1%
Other values (8)	47	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	19590	99.4%
Other Punctuation	48	0.2%
Dash Punctuation	32	0.2%
Space Separator	17	0.1%
Math Symbol	16	0.1%
Lowercase Letter	3	< 0.1%
Uppercase Letter	1	< 0.1%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	18655	95.2%
1	468	2.4%
2	288	1.5%
3	95	0.5%
4	22	0.1%
5	19	0.1%
7	12	0.1%
8	11	0.1%
9	11	0.1%
6	9	< 0.1%

Lowercase Letter

Value	Count	Frequency (%)
u	1	33.3%
s	1	33.3%
t	1	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	48	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	32	100.0%

Space Separator

Value	Count	Frequency (%)
	17	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Uppercase Letter

Value	Count	Frequency (%)
R	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	19703	> 99.9%
Latin	4	< 0.1%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	18655	94.7%
1	468	2.4%
2	288	1.5%
3	95	0.5%
:	48	0.2%
-	32	0.2%
4	22	0.1%
5	19	0.1%
	17	0.1%
+	16	0.1%
Other values (4)	43	0.2%

Latin

Value	Count	Frequency (%)
R	1	25.0%
u	1	25.0%
s	1	25.0%
t	1	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19707	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	18655	94.7%
1	468	2.4%
2	288	1.5%
3	95	0.5%
:	48	0.2%
-	32	0.2%
4	22	0.1%
5	19	0.1%
	17	0.1%
+	16	0.1%
Other values (8)	47	0.2%

log_public_repos
Real number (ℝ)

High correlation Zeros

Distinct	667
Distinct (%)	3.4%
Missing	46
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	3.3764337

Minimum	0
Maximum	10.819798
Zeros	966
Zeros (%)	5.0%
Negative	0
Negative (%)	0.0%
Memory size	820.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0.69314718
Q1	2.4849066
median	3.5553481
Q3	4.4188406
95-th percentile	5.5174529
Maximum	10.819798
Range	10.819798
Interquartile range (IQR)	1.933934

Descriptive statistics

Standard deviation	1.4886652
Coefficient of variation (CV)	0.44089868
Kurtosis	0.025800282
Mean	3.3764337
Median Absolute Deviation (MAD)	0.93328831
Skewness	-0.38278236
Sum	65546.708
Variance	2.216124
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	966	5.0%
0.6931471806	556	2.9%
1.098612289	468	2.4%
1.386294361	394	2.0%
1.609437912	377	1.9%
1.945910149	362	1.9%
1.791759469	350	1.8%
2.079441542	328	1.7%
2.302585093	306	1.6%
2.197224577	300	1.5%
Other values (657)	15006	77.1%

Value	Count	Frequency (%)
0	966	5.0%
0.6931471806	556	2.9%
1.098612289	468	2.4%
1.386294361	394	2.0%
1.609437912	377	1.9%
1.791759469	350	1.8%
1.945910149	362	1.9%
2.079441542	328	1.7%
2.197224577	300	1.5%
2.302585093	306	1.6%

Value	Count	Frequency (%)
10.81979828	1	< 0.1%
10.23088301	1	< 0.1%
10.17964092	1	< 0.1%
10.02654554	1	< 0.1%
9.937599082	1	< 0.1%
9.765718623	1	< 0.1%
9.740144754	1	< 0.1%
9.731512288	1	< 0.1%
9.164819857	1	< 0.1%
8.863474306	1	< 0.1%

log_public_gists
Real number (ℝ)

High correlation Zeros

Distinct	390
Distinct (%)	2.0%
Missing	38
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	1.3872489

Minimum	0
Maximum	10.929207
Zeros	7790
Zeros (%)	40.0%
Negative	0
Negative (%)	0.0%
Memory size	820.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1.0986123
Q3	2.3978953
95-th percentile	4.2626799
Maximum	10.929207
Range	10.929207
Interquartile range (IQR)	2.3978953

Descriptive statistics

Standard deviation	1.5188762
Coefficient of variation (CV)	1.0948837
Kurtosis	0.40792863
Mean	1.3872489
Median Absolute Deviation (MAD)	1.0986123
Skewness	0.96025069
Sum	26941.762
Variance	2.306985
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	7790	40.0%
0.6931471806	1818	9.3%
1.098612289	1118	5.7%
1.386294361	804	4.1%
1.609437912	652	3.4%
1.791759469	610	3.1%
1.945910149	473	2.4%
2.079441542	398	2.0%
2.302585093	323	1.7%
2.197224577	311	1.6%
Other values (380)	5124	26.3%

Value	Count	Frequency (%)
0	7790	40.0%
0.6931471806	1818	9.3%
1.098612289	1118	5.7%
1.386294361	804	4.1%
1.609437912	652	3.4%
1.791759469	610	3.1%
1.945910149	473	2.4%
2.079441542	398	2.0%
2.197224577	311	1.6%
2.302585093	323	1.7%

Value	Count	Frequency (%)
10.92920652	1	< 0.1%
10.89044176	1	< 0.1%
10.27311821	1	< 0.1%
10.19913779	1	< 0.1%
9.647497927	1	< 0.1%
9.41970949	1	< 0.1%
9.269080867	1	< 0.1%
9.096611607	1	< 0.1%
8.403352375	1	< 0.1%
8.33423143	1	< 0.1%

log_followers
Real number (ℝ)

High correlation Zeros

Distinct	1564
Distinct (%)	8.0%
Missing	30
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	3.490025

Minimum	0
Maximum	11.469527
Zeros	1436
Zeros (%)	7.4%
Negative	0
Negative (%)	0.0%
Memory size	820.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2.0794415
median	3.5263605
Q3	4.8283137
95-th percentile	6.7136848
Maximum	11.469527
Range	11.469527
Interquartile range (IQR)	2.7488722

Descriptive statistics

Standard deviation	1.9544797
Coefficient of variation (CV)	0.56001883
Kurtosis	-0.28827067
Mean	3.490025
Median Absolute Deviation (MAD)	1.3291359
Skewness	0.13372599
Sum	67807.696
Variance	3.819991
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1436	7.4%
0.6931471806	796	4.1%
1.098612289	616	3.2%
1.386294361	504	2.6%
1.609437912	443	2.3%
1.791759469	409	2.1%
1.945910149	396	2.0%
2.079441542	342	1.8%
2.197224577	337	1.7%
2.302585093	308	1.6%
Other values (1554)	13842	71.1%

Value	Count	Frequency (%)
0	1436	7.4%
0.6931471806	796	4.1%
1.098612289	616	3.2%
1.386294361	504	2.6%
1.609437912	443	2.3%
1.791759469	409	2.1%
1.945910149	396	2.0%
2.079441542	342	1.8%
2.197224577	337	1.7%
2.302585093	308	1.6%

Value	Count	Frequency (%)
11.46952724	1	< 0.1%
11.35017121	1	< 0.1%
11.10049616	1	< 0.1%
10.97597829	1	< 0.1%
10.34563811	1	< 0.1%
10.31850687	1	< 0.1%
10.2995755	1	< 0.1%
10.28926003	1	< 0.1%
10.25456687	1	< 0.1%
10.23192762	1	< 0.1%

log_following
Real number (ℝ)

High correlation Zeros

Distinct	607
Distinct (%)	3.1%
Missing	151
Missing (%)	0.8%
Infinite	0
Infinite (%)	0.0%
Mean	1.8481194

Minimum	0
Maximum	9.7256758
Zeros	5901
Zeros (%)	30.3%
Negative	0
Negative (%)	0.0%
Memory size	820.1 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1.6094379
Q3	3.1354942
95-th percentile	4.9904326
Maximum	9.7256758
Range	9.7256758
Interquartile range (IQR)	3.1354942

Descriptive statistics

Standard deviation	1.7374152
Coefficient of variation (CV)	0.94009897
Kurtosis	-0.25776983
Mean	1.8481194
Median Absolute Deviation (MAD)	1.6094379
Skewness	0.68501686
Sum	35683.49
Variance	3.0186115
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	5901	30.3%
0.6931471806	1709	8.8%
1.098612289	1073	5.5%
1.386294361	774	4.0%
1.609437912	596	3.1%
1.791759469	518	2.7%
1.945910149	470	2.4%
2.079441542	399	2.1%
2.197224577	357	1.8%
2.302585093	317	1.6%
Other values (597)	7194	37.0%

Value	Count	Frequency (%)
0	5901	30.3%
0.6931471806	1709	8.8%
1.098612289	1073	5.5%
1.386294361	774	4.0%
1.609437912	596	3.1%
1.791759469	518	2.7%
1.945910149	470	2.4%
2.079441542	399	2.1%
2.197224577	357	1.8%
2.302585093	317	1.6%

Value	Count	Frequency (%)
9.725675811	1	< 0.1%
9.676084944	1	< 0.1%
9.386140712	1	< 0.1%
9.236884927	1	< 0.1%
9.182043773	1	< 0.1%
9.178540059	1	< 0.1%
9.162514742	1	< 0.1%
9.145054905	1	< 0.1%
8.905851181	1	< 0.1%
8.733594062	1	< 0.1%

	blog	company	followers	following	hireable	label	location	log_followers	log_following	log_public_gists	log_public_repos	public_gists	public_repos	site_admin	text_bot_count	type
blog	1.000	0.258	0.047	0.036	0.218	0.023	0.370	0.424	0.358	0.359	0.360	0.017	0.000	0.005	0.065	0.081
company	0.258	1.000	0.017	0.005	0.058	0.070	0.393	0.257	0.195	0.181	0.196	0.000	0.009	0.025	0.070	0.102
followers	0.047	0.017	1.000	0.535	0.000	0.000	0.020	1.000	0.535	0.592	0.649	0.592	0.649	0.000	0.000	0.000
following	0.036	0.005	0.535	1.000	0.050	0.000	0.008	0.535	1.000	0.439	0.536	0.439	0.536	0.000	0.088	0.000
hireable	0.218	0.058	0.000	0.050	1.000	0.056	0.177	0.213	0.266	0.199	0.226	0.000	0.015	0.013	0.061	0.041
label	0.023	0.070	0.000	0.000	0.056	1.000	0.128	0.163	0.164	0.139	0.362	0.035	0.019	0.006	0.578	0.370
location	0.370	0.393	0.020	0.008	0.177	0.128	1.000	0.394	0.357	0.290	0.349	0.000	0.000	0.019	0.129	0.125
log_followers	0.424	0.257	1.000	0.535	0.213	0.163	0.394	1.000	0.535	0.592	0.649	0.592	0.649	0.075	0.059	0.226
log_following	0.358	0.195	0.535	1.000	0.266	0.164	0.357	0.535	1.000	0.439	0.536	0.439	0.536	0.000	0.094	0.115
log_public_gists	0.359	0.181	0.592	0.439	0.199	0.139	0.290	0.592	0.439	1.000	0.619	1.000	0.619	0.038	0.060	0.092
log_public_repos	0.360	0.196	0.649	0.536	0.226	0.362	0.349	0.649	0.536	0.619	1.000	0.619	1.000	0.019	0.179	0.322
public_gists	0.017	0.000	0.592	0.439	0.000	0.035	0.000	0.592	0.439	1.000	0.619	1.000	0.619	0.000	0.037	0.000
public_repos	0.000	0.009	0.649	0.536	0.015	0.019	0.000	0.649	0.536	0.619	1.000	0.619	1.000	0.000	0.037	0.000
site_admin	0.005	0.025	0.000	0.000	0.013	0.006	0.019	0.075	0.000	0.038	0.019	0.000	0.000	1.000	0.000	0.000
text_bot_count	0.065	0.070	0.000	0.088	0.061	0.578	0.129	0.059	0.094	0.060	0.179	0.037	0.037	0.000	1.000	0.511
type	0.081	0.102	0.000	0.000	0.041	0.370	0.125	0.226	0.115	0.092	0.322	0.000	0.000	0.000	0.511	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	label	type	company	blog	location	hireable	bio	public_repos	public_gists	followers	following	created_at	updated_at	log_public_repos	log_public_gists	log_followers	log_following
0	Human	1	0	0	0	0	NaN	26.0	1.0	5.0	1.0	2011-09-26 17:27:03+00:00	2023-10-13 11:21:10+00:00	3.295837	0.693147	1.791759	0.693147
1	Human	1	0	1	0	1	I just press the buttons randomly, and the program evolves...	30.0	3.0	9.0	6.0	2015-06-29 10:12:46+00:00	2023-10-07 06:26:14+00:00	3.433987	1.386294	2.302585	1.945910
2	Human	1	1	1	1	1	Time is unimportant,\nonly life important.	103.0	49.0	1212.0	221.0	2008-08-29 16:20:03+00:00	2023-10-02 02:11:21+00:00	4.644391	3.912023	7.100852	5.402677
3	Bot	1	0	0	1	0	NaN	49.0	0.0	84.0	2.0	2014-05-20 18:43:09+00:00	2023-10-12 12:54:59+00:00	3.912023	0.000000	4.442651	1.098612
4	Human	1	0	0	0	1	NaN	11.0	1.0	6.0	2.0	2012-08-16 14:19:13+00:00	2023-10-06 11:58:41+00:00	2.484907	0.693147	1.945910	1.098612
5	Human	1	1	1	1	0	Done studying. Need challenges.	56.0	1.0	22.0	7.0	2017-04-11 14:08:07+00:00	2023-10-11 05:59:26+00:00	4.043051	0.693147	3.135494	2.079442
6	Human	1	1	1	1	1	Administrator of MOONGIFT that is introducing open source software everyday to Japanese engineers since 2004.	277.0	1139.0	63.0	16.0	2008-04-07 22:22:22+00:00	2023-09-27 09:04:56+00:00	5.627621	7.038784	4.158883	2.833213
7	Human	1	1	0	1	0	Senior Software Engineer at Google, working on Certificate Transparency and generalized transparency.	37.0	1.0	22.0	0.0	2012-01-19 21:57:07+00:00	2023-08-07 16:06:34+00:00	3.637586	0.693147	3.135494	0.000000
8	Human	1	0	0	0	0	NaN	27.0	2.0	37.0	596.0	2019-12-24 20:04:33+00:00	2023-10-12 11:55:01+00:00	3.332205	1.098612	3.637586	6.391917
9	Human	1	1	1	1	0	Hi	42.0	9.0	14.0	2.0	2013-07-23 23:29:34+00:00	2023-10-09 20:47:05+00:00	3.761200	2.302585	2.708050	1.098612

	label	type	company	blog	location	hireable	bio	public_repos	public_gists	followers	following	created_at	updated_at	text_bot_count	log_public_repos	log_public_gists	log_followers	log_following
19503	Human	1	1	0	1	0	NaN	30.0	0.0	10.0	11.0	2016-09-10 09:45:00+00:00	2023-10-06 11:30:51+00:00	0	3.433987	0.000000	2.397895	2.484907
19504	Human	1	0	0	1	1	NaN	37.0	19.0	91.0	6.0	2012-04-19 03:27:14+00:00	2023-10-07 18:13:52+00:00	0	3.637586	2.995732	4.521789	1.945910
19505	Bot	1	0	0	0	0	I am the bot account of @alvaroaleman	1.0	0.0	0.0	0.0	2018-12-15 19:55:31+00:00	2021-07-27 14:14:25+00:00	2	0.693147	0.000000	0.000000	0.000000
19506	Human	1	0	0	0	0	NaN	3.0	0.0	1.0	0.0	2013-11-10 16:05:37+00:00	2023-08-31 14:26:08+00:00	2	1.386294	0.000000	0.693147	0.000000
19507	Human	1	0	0	0	0	NaN	0.0	0.0	0.0	0.0	2020-10-01 18:30:32+00:00	2020-12-29 19:45:12+00:00	0	0.000000	0.000000	0.000000	0.000000
19508	Bot	1	1	1	1	0	Tony came to Linux in 1994 and has never looked back. His entire professional career has been spent working with or on Linux. First as a systems administrator	36.0	16.0	11.0	4.0	2014-07-02 23:27:34+00:00	2023-08-15 16:38:34+00:00	0	3.610918	2.833213	2.484907	1.609438
19509	Human	1	0	0	0	0	NaN	16.0	0.0	3.0	0.0	2017-12-06 21:56:31+00:00	2023-07-26 18:32:25+00:00	0	2.833213	0.000000	1.386294	0.000000
19510	Human	1	1	0	1	0	Software engineer at RealTracs.	13.0	0.0	10.0	1.0	2015-11-14 14:44:05+00:00	2022-08-23 21:09:49+00:00	0	2.639057	0.000000	2.397895	0.693147
19511	Human	1	1	0	0	0	NaN	7.0	0.0	2.0	0.0	2021-11-23 18:55:29+00:00	2023-10-06 22:50:45+00:00	0	2.079442	0.000000	1.098612	0.000000
19512	Bot	1	0	0	1	0	NaN	10.0	0.0	1.0	0.0	2016-04-22 22:11:59+00:00	2022-07-07 19:48:21+00:00	0	2.397895	0.000000	0.693147	0.000000

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block